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A construction waste change detection method based on classification results and cva-sgd method

A construction waste and change detection technology, applied in construction waste recycling, image analysis, image enhancement, etc., can solve problems such as inability to locate efficiently and accurately

Active Publication Date: 2022-07-08
BEIJING UNIV OF CIVIL ENG & ARCHITECTURE
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  • Application Information

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Problems solved by technology

[0003] The traditional monitoring and management of construction waste is mainly through field research and on-site measurement. The time resolution remote sensing data acquisition ability has been greatly improved, providing a new means for construction waste monitoring

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  • A construction waste change detection method based on classification results and cva-sgd method
  • A construction waste change detection method based on classification results and cva-sgd method
  • A construction waste change detection method based on classification results and cva-sgd method

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Embodiment 1

[0140] The present invention will be further described in detail below with reference to the accompanying drawings and embodiments. The specific embodiments described herein are only used to explain the present invention, but not to limit the present invention.

[0141] see figure 1 , the study area is located in a typical construction waste storage area in Daxing District, Beijing. The main types of ground objects covered in this area include buildings, roads, vegetation, bare soil, water and construction waste. The types of construction waste include exposed and covered Dust-proof green net type, through on-site observation and research, it is found that most of the construction waste here is demolition waste, and the main components are muck, cement, masonry and other wastes.

[0142] JL1-01A image data is used as the main research data, and GF-1WFV multispectral data is used as supplementary data. In order to verify the accuracy of remote sensing identification and monitor...

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Abstract

The invention relates to the technical field of construction waste change detection, in particular to a construction waste change detection method based on a classification result and a CVA-SGD method. The construction waste change detection framework verifies the effectiveness of the method through quantitative evaluation. There are three threshold segmentation algorithms and change detection accuracy evaluation methods, and the appropriate threshold segmentation algorithm can be selected according to the actual situation, comprehensively considering the operation efficiency and the complexity of the operation. and adjustment factor, compared with the prior art, the present invention avoids the influence of the cumulative error of repeated classification through change vector analysis, detects pseudo-changes caused by the existence of spectral variance between classes through the difference in spectral slope, and then uses different The threshold segmentation algorithm is used to extract the change area of ​​construction waste and realize the mastery of the change information of construction waste.

Description

technical field [0001] The invention relates to the technical field of construction waste change detection, in particular to a construction waste change detection method based on a classification result and a CVA-SGD method. Background technique [0002] As an inevitable solid waste in urban construction, construction waste brings a series of environmental pollution problems and social problems that seriously restrict the promotion of national circular economy and sustainable development strategies. It is very important to quickly and accurately discover its spatial distribution location. [0003] The traditional monitoring and management of construction waste is mainly through on-the-spot investigation and on-site measurement, which has been unable to efficiently and accurately locate the location and scope of a large number of building accumulations brought about by the rapid development of today's cities. The ability to obtain temporal resolution remote sensing data has ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00G06T7/136G06T7/62
CPCG06T7/0002G06T7/136G06T7/62G06T2207/10032G06T2207/20021G06T2207/30184Y02W30/58
Inventor 陈强曹蓓蕾杜明义刘扬周磊
Owner BEIJING UNIV OF CIVIL ENG & ARCHITECTURE